Datasets. We use two publicly available and 3 self-created datasets in our experiments. We summarize their characteristics in Table REF . The Server Machine Dataset (SMD) is a five-week long trace of resource utilization of 38 machines from a compute cluster [1]}. The Multi-Source Distributed System (MSDS) Dataset is a recent high-quality log data composed of distributed traces, application logs, and metrics from a complex distributed system [2]}. We have created another dataset by executing DeFog benchmark applications [3]} on a 10-node Raspberry-Pi Cluster. We use an existing fault injection module [4]} to create different fault types like CPU overload, RAM contention and DDOS attack using a Poisson process. We truncate the dataset to have only 1, 25 or 55 dimensions and call these FTSAD-1/25/55 datasets (more details in Appendix ).
